Yuhang Li

Ph.D. candidate, Electrical and Computer Engineering, UCLA

prof_pic.jpg

Bio- and Nano-photonics Lab

UCLA

Los Angeles, CA

I am a Ph.D. candidate in Electrical and Computer Engineering at the University of California, Los Angeles (UCLA), working in the Bio- and Nano-photonics Lab under the mentorship of Prof. Aydogan Ozcan. Before joining UCLA, I received my B.Eng. in Optical Science and Engineering from Zhejiang University in 2021.

My research focuses on computational imaging and optical neural networks. I design diffractive optical processors that compute with light — performing tasks such as quantitative phase imaging, imaging through random diffusers, universal polarization transformations, and nonlinear information processing, all at the speed of light propagation. More recently, I have been exploring optical generative models and model-free training of optical processors using reinforcement learning.

My work has been published in journals including Nature, Science, Light: Science & Applications, Advanced Photonics, Nature Communications, and Science Advances, and has been cited over 1,300 times (h-index: 18).

news

Jun 01, 2026 I joined Meta Reality Labs (Redmond, WA) as a Research Scientist Intern for Summer 2026. 🚀
Jan 15, 2026 Our paper on model-free optical processors using in situ reinforcement learning was published in Light: Science & Applications! 🔦
Aug 27, 2025 Our work on optical generative models was published in Nature! ✨
Oct 15, 2024 I was selected as a finalist in the Emil Wolf Outstanding Student Paper Competition at Frontiers in Optics + Laser Science (FiO LS) 2024.
Mar 15, 2024 I advanced to doctoral candidacy at UCLA. 🎓

selected publications

  1. LSA
    Model-free optical processors using in situ reinforcement learning with proximal policy optimization
    Yuhang Li, Shiqi Chen, Tianhao Gong, and 1 more author
    Light: Science & Applications, 2026
  2. Optical generative models
    Shiqi Chen, Yuhang Li, Yuntian Wang, and 2 more authors
    Nature, 2025
  3. Training of physical neural networks
    Ali Momeni, Babak Rahmani, Benjamin Scellier, and 5 more authors
    Nature, 2025
  4. Spectral kernel machines with electrically tunable photodetectors
    Dehui Zhang, Yuhang Li, Jingxuan Geng, and 6 more authors
    Science, 2025
  5. LSA
    Nonlinear encoding in diffractive information processing using linear optical materials
    Yuhang Li, Jingxi Li, and Aydogan Ozcan
    Light: Science & Applications, 2024
  6. Light Adv. Manuf.
    Quantitative phase imaging (QPI) through random diffusers using a diffractive optical network
    Yuhang Li, Yi Luo, Deniz Mengu, and 2 more authors
    Light: Advanced Manufacturing, 2023
  7. Adv. Mater.
    Universal polarization transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer
    Yuhang Li, Jingxi Li, Yifan Zhao, and 3 more authors
    Advanced Materials, 2023